Data Analysis with SQL, Python, and Tableau Training Course

This instructor-led, live training in Morocco (online or onsite) is aimed at intermediate-level database administrators, developers, and analysts who wish to master advanced SQL functionalities for complex data operations and database management.

By the end of this training, participants will be able to:

• Perform advanced querying techniques using unions, subqueries, and complex joins.
• Add, update, and delete data, tables, views, and indexes with precision.
• Ensure data integrity through transactions and manipulate database structures.
• Create and manage databases efficiently for robust data storage and retrieval.

This instructor-led, live training in Morocco equips data engineers with the skills to integrate LLMs into SQL environments. Participants will build natural language pipelines, implement AI-driven optimization, and design secure enterprise workflows for automated data analysis.

This instructor-led, live training in Morocco (online or onsite) is aimed at intermediate-level database administrators and IT professionals who wish to optimize the performance of Oracle Database 19c.

By the end of this training, participants will be able to:

• Understand Oracle Database 19c performance tuning concepts.
• Use performance management tools effectively.
• Optimize database performance through tuning techniques.
• Troubleshoot and resolve performance issues.

By the end of this training, participants will be able to:

This instructor-led, live training in Morocco (online or onsite) is aimed at data scientists who wish to program in R for Tableau.

• Implement Tableau analytics with R.
• Return values to Tableau with learning algorithms in R.
• Structure and visualize R functions in Tableau.
• Make data driven decisions for business operations.

This instructor-led, live training in Morocco (online or onsite) is aimed at beginner-level to intermediate-level data analysts who wish to use Tableau Desktop to transform raw data into meaningful insights through graphical representations such as charts, graphs, maps, and tables.

By the end of this training, participants will be able to:

• Connect to multiple types of data sources (Excel, CSV, databases, cloud-based) and understand the distinctions between live and extract connections.
• Prepare and clean data for analysis, including renaming fields, handling null values, and combining datasets through joins and blends.
• Create basic visualizations such as tables, bar charts, line charts, and maps, and apply filters to refine data presentations.
• Develop intermediate visualizations including geographic maps, dual-axis charts, and use hierarchies, groups, and sets to enhance analysis.
• Build calculated fields and parameters to create dynamic and customized visualizations based on user inputs and logic functions.
• Design interactive dashboards and stories, incorporating multiple visualizations and filters to tell a cohesive narrative.

By the end of this training, participants will be able to:

This instructor-led, live training in Morocco (online or onsite) is aimed at intermediate-level digital forensic and cybersecurity professionals who wish to have a comprehensive understanding and practical skills in using Tableau Forensic Imager for digital forensic purposes.

• Understand the role and importance of digital forensic imaging in investigations.
• Operate Tableau Forensic Imager to acquire forensically sound images.
• Apply best practices in handling and preserving digital evidence.
• Navigate the software interface to configure, execute, and manage imaging tasks.
• Analyze and validate forensic images to ensure integrity and admissibility in court.

This instructor-led, live training in Morocco (online or onsite) is aimed at data analysts and data scientists who wish to search, analyze, and visualize data using Tableau.

By the end of this training, participants will be able to:

• Connect to your data.
• Edit and save a data source.
• Understand Tableau terminology.
• Use the Tableau interface / paradigm to effectively create powerful visualizations.
• Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
• Represent your data using different visualization types.
• Build dashboards to share visualizations.

This instructor-led, live training in Morocco (online or onsite) is aimed at beginner-level to intermediate-level data analysts who wish to gain practical knowledge of Tableau Prep Builder and the essential mapping functionalities in Tableau to address data preparation and visualization challenges.

By the end of this training, participants will be able to:

• Connect to a variety of data sources, including cloud-based and local files, and manage live and extracted data connections.
• Perform data fusion and combination using advanced joining techniques to merge multiple datasets from different sources for better analysis.
• Create calculated fields and perform operations to manipulate and analyze data dynamically.
• Publish and update prepared data to Tableau Server or Tableau Online, enabling automated updates and scheduling.
• Create basic and advanced maps with geographic data, including filled maps, density maps, and dual-axis maps.
• Apply mapping techniques to solve real-world business problems by creating interactive, detailed geographic visualizations.

This instructor-led, live training in Morocco (online or onsite) is aimed at advanced-level data professionals who wish to use Tableau to build complex visualizations, optimize dashboards, and perform advanced data analysis.

By the end of this training, participants will be able to: install and configure Tableau for advanced use, create advanced calculations, design interactive dashboards, and optimize performance.

This practical programme helps participants with existing Tableau experience develop the skills and confidence to build clear, accurate, and interactive dashboards for HR reporting.

Participants will work with prepared HR datasets to connect and combine data, create useful calculations, select appropriate visualisations, and design dashboards that help users explore workforce information. Particular attention is given to defining HR indicators consistently, avoiding duplicate employee counts, and checking dashboard results against the underlying data.

The workshop concludes with a guided project in which each participant builds, validates, and presents an HR dashboard prototype. The dashboard will use a small set of indicators agreed before delivery, such as headcount, joiners and leavers, turnover, or training participation.

Exercises will use synthetic HR data or an approved anonymised dataset. The final selection of indicators and sharing topics will be aligned with the client’s reporting priorities and Tableau environment.